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Left Ventricular Wall Stress Is Sensitive Marker of Hypertrophic Cardiomyopathy With Preserved Ejection Fraction
Xiaodan Zhao1, Ru-San Tan1,2, Hak-Chiaw Tang1,2
1National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore.
Insights
Hypertrophic cardiomyopathy (HCM) diagnosis can be improved using a novel wall stress index derived from cardiac MRI. This index, incorporating regional wall curvature, accurately differentiates HCM patients from controls.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Medical Diagnostics
Background:
- Hypertrophic cardiomyopathy (HCM) is characterized by altered myocardial mechanics and increased ventricular wall thickness.
- Current diagnostic methods for HCM primarily rely on measuring myocardium wall thickness.
Purpose of the Study:
- To quantify regional left ventricular (LV) shape, wall stress, and deformation using cardiac MRI.
- To establish superior diagnostic measures for differentiating HCM patients from healthy controls.
Main Methods:
- Cardiac MRI scans were acquired for 19 HCM patients and 19 controls.
- 3D LV geometrical models were reconstructed to compute regional parameters including wall thickness, curvedness, wall stress, area strain, and ejection fraction.
- A multivariate stepwise selection algorithm identified predictors of HCM.
Main Results:
- Significant differences in all regional parameters were observed between HCM patients and controls (P < 0.001).
- HCM patients exhibited greater wall thickness, particularly in septal regions.
- The end-diastolic wall stress index (σ ) was the strongest independent predictor of HCM (AUC = 0.947), with 94.7% sensitivity and specificity at a cutoff of < 1.64.
Conclusions:
- The end-diastolic wall stress index, integrating regional wall curvature, serves as a sensitive biomarker for HCM diagnosis.
- This index shows potential utility in both diagnostic and therapeutic assessments of HCM.
Abstract:
Hypertrophic cardiomyopathy (HCM) patients present altered myocardial mechanics due to the hypertrophied ventricular wall and are typically diagnosed by the increase in myocardium wall thickness. This study aimed to quantify regional left ventricular (LV) shape, wall stress and deformation from cardiac magnetic resonance (MR) images in HCM patients and controls, in order to establish superior measures to differentiate HCM from controls. A total of 19 HCM patients and 19 controls underwent cardiac MR scans. The acquired MR images were used to reconstruct 3D LV geometrical models and compute the regional parameters (i.e., wall thickness, curvedness, wall stress, area strain and ejection fraction) based on the standard 16 segment model using our in-house software. HCM patients were further classified into four quartiles based on wall thickness at end diastole (ED) to assess the impact of wall thickness on these regional parameters. There was a significant difference between the HCM patients and controls for all regional parameters (P < 0.001). Wall thickness was greater in HCM patients at the end-diastolic and end-systolic phases, and thickness was most pronounced in segments at the septal regions. A multivariate stepwise selection algorithm identified wall stress index at ED (σ ) as the single best independent predictor of HCM (AUC = 0.947). At the cutoff value σ < 1.64, both sensitivity and specificity were 94.7%. This suggests that the end-diastolic wall stress index incorporating regional wall curvature-an index based on mechanical principle-is a sensitive biomarker for HCM diagnosis with potential utility in diagnostic and therapeutic assessment.
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